Constructing explicit estimators in nonlinear regression problems

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2 Citations (Scopus)

Abstract

In the paper, we propose a general approach to constructing explicit consistent estimators for some classes of nonlinear regression models. These estimators can be used as initial ones in one-step estimation procedures capable of delivering, in a sense, optimal estimators in an explicit form.

Original languageEnglish
Pages (from-to)22-44
Number of pages23
JournalTheory of Probability and its Applications
Volume63
Issue number1
DOIs
Publication statusPublished - 1 Jan 2018

Keywords

  • Asymptotic normality
  • Explicit estimator
  • Initial estimator
  • Nonlinear regression
  • One-step estimator
  • α -consistency

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